UMLS-based analysis of hotspots in studies on lung cancer therapy
10.3969/j.issn.1671-3982.2017.01.010
- VernacularTitle:基于UMLS的肺癌治疗研究热点分析
- Author:
Xiaocui GONG
;
Xinying AN
;
Yingguang ZHAO
- Keywords:
Lung cancer;
Therapy;
Research hotspot;
UMLS;
Text mining;
Topic identification
- From:Chinese Journal of Medical Library and Information Science
2017;26(1):46-50
- CountryChina
- Language:Chinese
-
Abstract:
Objective To identify the frontiers and hotspots in studies on lung cancer therapy by text mining. Methods PubMed-covered papers on lung cancer therapy were retrieved from 2013 to 2014 . The terms with a broa-der meaning were excluded by mapping the UMLS concept with MetaMap and by limiting their semantic types. A LDA model was established to identify the topics. Results The LDA model could identify the frontiers and hotspots in studies on lung cancer therapy from 2013 to 2014 . Conclusion Frontiers and hotspots in studies on lung cancer therapy can be identified by analyzing the topics and reading the related literature, which can thus provide reference for related medical researchers and managers.
